A time-efficient and accurate strain estimation concept for ultrasonic elastography using iterative phase zero estimation

In ultrasonic elastography, the exact estimation of temporal displacements between two signals is the key to estimating strain. An algorithm was previously proposed that estimates these displacements using phase differences of the corresponding base-band signals. A major advantage of these algorithm...

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Bibliographic Details
Published in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 1999-09, Vol.46 (5), p.1057-1067
Main Authors: Pesavento, A., Perrey, C., Krueger, M., Ermert, H.
Format: Article
Language:English
Subjects:
Accuracy
Acoustic signal processing
Acoustical measurements and instrumentation
Acoustics
Algorithm design and analysis
Algorithms
Biological and medical sciences
Biological tissues
Capacitive sensors
Compressing
Correlation
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Image coding
Investigative techniques, diagnostic techniques (general aspects)
Iterative algorithms
Medical sciences
Miscellaneous. Technology
Phase estimation
Phase shift
Physics
RF signals
Searching
Signal analysis
Strain
Strain measurement
Ultrasonic imaging
Ultrasonic investigative techniques
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Summary:In ultrasonic elastography, the exact estimation of temporal displacements between two signals is the key to estimating strain. An algorithm was previously proposed that estimates these displacements using phase differences of the corresponding base-band signals. A major advantage of these algorithms compared with correlation techniques is the computational efficiency. In this paper, an extension of the algorithm is presented that iteratively takes into account the time shifts of the signals to overcome the problems of aliasing and accuracy in the estimation of the phase shift. Thus, it can be proven that the algorithm is equivalent to the search of the maximum of the correlation function. Furthermore, a robust logarithmic compression is proposed that only compresses the envelope of the signal. This compression does not introduce systematic errors and significantly reduces decorrelation noise. The resulting algorithm is a computationally simple and very fast alternative to conventional correlation techniques, and the accuracy of strain images is improved.
ISSN:0885-3010
1525-8955
DOI:10.1109/58.796111